Semester:

Winter term

SWS/ECTS: 6

Recommended for:

Master-Inf

Vorrausetzungen

none

Examination Type:

oral

Link to Moodle-Course 23387

Register for this course in Moodle (https://moodle.uni-siegen.de/), the registration key will be sent via UNISONO mail. The lecture contents are uploaded as slides in Moodle, the lecture takes place in presence. The exercise sheets are uploaded in Moodle and the solution will be discussed in presence.

Goals:

Scientific Visualization is about the visual representation of simulation and measurement data from medicine, natural sciences, and technology. This lecture focusses on interactive techniques that map abstract data to visualizable geometry.

Contents:

• Grid types and interpolation
• 2D scalar fields
• Vector field topology and particle traces
• 2D and 3D flow visualization
• Direct and indirect volume visualization
• Hardware-accelerated volume rendering